Artificial Intelligence Engineer Job at Goliath Partners in New York
Goliath Partners, New York, NY, United States
A fast-growing NYC startup is building an agentic AI platform purpose-built for investment banks and private equity firms.
They're hiring for a Founding AI Engineer:
Responsibilities Lead integration and optimization of LLMs, embedding models, and semantic retrieval into production systems
Design and deploy multimodal retrieval + agentic workflows across unstructured and structured financial data
Push forward agentic architectures : composability, function calling, modular orchestration
Improve retrieval quality and AI outputs using real customer feedback loops
Prototype and ship new AI capabilities used by major financial institutions
Work closely with engineering, product, and customer teams to translate AI capability into business impact
What They’re Looking For Core 2+ years deploying ML systems in production
Experience integrating closed-source LLM APIs and fine-tuning open-source models
Hands-on with embeddings + vector DBs (Pinecone, Weaviate, FAISS, Chroma, PGVector, etc.)
Experience building semantic retrieval across mixed data types
Comfortable with ambiguity and owning projects end-to-end
Nice to Have Experience with agentic systems, function calling, orchestration frameworks
Familiarity with financial datasets and retrieval challenges
Performance tuning/scalability for AI retrieval
Startup or entrepreneurial background
Interest in applying generative AI to complex business workflows
$200,000 – $300,000 base + meaningful equity
#J-18808-Ljbffr
They're hiring for a Founding AI Engineer:
Responsibilities Lead integration and optimization of LLMs, embedding models, and semantic retrieval into production systems
Design and deploy multimodal retrieval + agentic workflows across unstructured and structured financial data
Push forward agentic architectures : composability, function calling, modular orchestration
Improve retrieval quality and AI outputs using real customer feedback loops
Prototype and ship new AI capabilities used by major financial institutions
Work closely with engineering, product, and customer teams to translate AI capability into business impact
What They’re Looking For Core 2+ years deploying ML systems in production
Experience integrating closed-source LLM APIs and fine-tuning open-source models
Hands-on with embeddings + vector DBs (Pinecone, Weaviate, FAISS, Chroma, PGVector, etc.)
Experience building semantic retrieval across mixed data types
Comfortable with ambiguity and owning projects end-to-end
Nice to Have Experience with agentic systems, function calling, orchestration frameworks
Familiarity with financial datasets and retrieval challenges
Performance tuning/scalability for AI retrieval
Startup or entrepreneurial background
Interest in applying generative AI to complex business workflows
$200,000 – $300,000 base + meaningful equity
#J-18808-Ljbffr